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gptkbp:instanceOf
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machine learning model packaging format
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gptkbp:canBeDeployedOn
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gptkb:Amazon_SageMaker
gptkb:Databricks
gptkb:REST_API
gptkb:Kubernetes
gptkb:Azure_ML
local machine
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gptkbp:canBeSavedAs
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Python function
serialized model
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gptkbp:developedBy
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gptkb:Databricks
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gptkbp:documentation
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https://mlflow.org/docs/latest/models.html
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gptkbp:enables
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gptkb:model
model deployment
model versioning
model packaging
model serving
model reproducibility
model sharing
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gptkbp:exportedTo
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gptkb:TorchScript
gptkb:ONNX
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gptkbp:firstReleased
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2018
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gptkbp:hasComponent
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gptkb:artifacts
flavors
model signature
environment specification
input example
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https://www.w3.org/2000/01/rdf-schema#label
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MLflow Models
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gptkbp:license
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gptkb:Apache_License_2.0
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gptkbp:openSource
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true
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gptkbp:partOf
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gptkb:MLflow
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gptkbp:supports
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gptkb:LightGBM
gptkb:TensorFlow
gptkb:XGBoost
gptkb:H2O
gptkb:Spark_MLlib
gptkb:PyTorch
gptkb:scikit-learn
multiple machine learning frameworks
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gptkbp:usedFor
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model deployment
machine learning lifecycle management
model reproducibility
model interoperability
model tracking
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gptkbp:bfsParent
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gptkb:MLflow
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gptkbp:bfsLayer
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6
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